Tan Haibin

23 total papers · 476 total citations
12 papers, 336 citations indexed

About

Tan Haibin is a scholar working on Neurology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Tan Haibin has authored 12 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Tan Haibin's work include Intracranial Aneurysms: Treatment and Complications (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Vascular Malformations Diagnosis and Treatment (3 papers). Tan Haibin is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and Vascular Malformations Diagnosis and Treatment (3 papers). Tan Haibin collaborates with scholars based in China and Hong Kong. Tan Haibin's co-authors include Weidong Liu, Yong Cheng, Hong Pu, Dongdong Zhao, Guangfu Huang, Xiaoling Liao, Kai Fu, Cheng Yin, Yi Shi and Jian Tang and has published in prestigious journals such as Spine, Journal of neurosurgery and Neurosurgery.

In The Last Decade

Tan Haibin

12 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tan Haibin	231	160	146	143	50	12	336
E. La Torre	123 0.5×	47 0.3×	189 1.3×	132 0.9×	120 2.4×	13	404
Julio D. Montejo	164 0.7×	86 0.5×	145 1.0×	25 0.2×	52 1.0×	10	336
David A. Cech	99 0.4×	75 0.5×	193 1.3×	26 0.2×	113 2.3×	16	395
Sarel J. Vorster	283 1.2×	206 1.3×	131 0.9×	204 1.4×	53 1.1×	9	398
William J. Flor	135 0.6×	85 0.5×	213 1.5×	29 0.2×	32 0.6×	12	343
Deepti Bhargava	123 0.5×	46 0.3×	194 1.3×	38 0.3×	45 0.9×	17	300
James D. Geissinger	117 0.5×	80 0.5×	129 0.9×	59 0.4×	73 1.5×	8	338
C M Citrin	118 0.5×	78 0.5×	50 0.3×	80 0.6×	116 2.3×	13	400
Dirk Michael Schulte	230 1.0×	150 0.9×	147 1.0×	118 0.8×	98 2.0×	14	401
Edward M. Marchan	179 0.8×	33 0.2×	151 1.0×	110 0.8×	99 2.0×	14	392

Countries citing papers authored by Tan Haibin

Since Specialization

Citations

This map shows the geographic impact of Tan Haibin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tan Haibin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Haibin more than expected).

Fields of papers citing papers by Tan Haibin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan Haibin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tan Haibin. The network helps show where Tan Haibin may publish in the future.

Co-authorship network of co-authors of Tan Haibin

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Haibin. A scholar is included among the top collaborators of Tan Haibin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tan Haibin. Tan Haibin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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